00-andruia-consultant
Usar al iniciar o mejorar un proyecto de IA: diagnostica código y restricciones, propone skills existentes y redacta tareas y un…
Debug, patch, and verify failed Agent QA runs from MCP evidence, artifacts, logs, and local code without hiding product or infrastructure defects.
Claude Code
$ npx -y skills add sickn33/agentic-awesome-skills --skill agent-qa-debug-fix --agent claude-code
Codex
$ npx skills add sickn33/agentic-awesome-skills --skill agent-qa-debug-fix -a codex -y
Cursor
$ npx skills add sickn33/agentic-awesome-skills --skill agent-qa-debug-fix -a cursor -y
Gemini CLI
$ npx skills add sickn33/agentic-awesome-skills --skill agent-qa-debug-fix -a gemini-cli -y
GitHub Copilot
$ npx skills add sickn33/agentic-awesome-skills --skill agent-qa-debug-fix -a github-copilot -y
OpenCode
$ npx skills add sickn33/agentic-awesome-skills --skill agent-qa-debug-fix -a opencode -y
Windsurf
$ npx skills add sickn33/agentic-awesome-skills --skill agent-qa-debug-fix -a windsurf -y
name: agent-qa-debug-fix description: "Debug, patch, and verify failed Agent QA runs from MCP evidence, artifacts, logs, and local code without hiding product or infrastructure defects." category: testing risk: critical source: https://github.com/vostride/agent-qa/tree/main/skills/agent-qa-debug-fix source_repo: vostride/agent-qa source_type: official date_added: "2026-08-16" author: Vostride tags: [testing, qa, debugging, mcp, self-healing] tools: [claude, cursor, gemini, codex] license: FSL-1.1-ALv2 license_source: https://github.com/vostride/agent-qa/blob/main/LICENSE.md
Repair a failed Agent QA run from recorded evidence and the relevant local source. Treat the classifier as a hypothesis, make the smallest justified change, and verify the narrowest affected behavior without rewriting a test merely to conceal a real defect.
1. Start with evidence collection:
2. Call `agent_qa_classify_failure` and treat its category as a hypothesis, not a verdict. 3. Identify the failing surface: test definition, hook, application under test, runtime infrastructure, or agent behavior. 4. Inspect the relevant local files directly. Do not infer patches from artifacts alone. 5. Explain the evidence-to-change link, then apply the smallest code or YAML change that accounts for the evidence. 6. Validate any changed Agent QA definition before execution. 7. Re-run the narrowest affected Agent QA test, suite, hook, or unit test within the approved environment. 8. Report the root cause, changed files, verification command or MCP action, result, and remaining risk.
User: Fix the failed staging checkout run, but do not touch production. Expected handling: collect the failed run evidence, classify it, inspect the implicated local definition and application code, patch only the evidenced cause, validate, rerun the single staging test, and report changed files plus remaining uncertainty.
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